Jihun Hamm
Jihun Hamm
Verified email at tulane.edu - Homepage
TitleCited byYear
A kernel view of the dimensionality reduction of manifolds
JH Ham, DD Lee, S Mika, B Schölkopf
Departmental Papers (ESE), 93, 2004
Grassmann discriminant analysis: a unifying view on subspace-based learning
J Hamm, DD Lee
Proceedings of the 25th international conference on Machine learning, 376-383, 2008
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, J Hamm, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
Semisupervised alignment of manifolds.
J Hamm, DD Lee, LK Saul
AISTATS, 120-127, 2005
Automated facial action coding system for dynamic analysis of facial expressions in neuropsychiatric disorders
J Hamm, CG Kohler, RC Gur, R Verma
Journal of neuroscience methods 200 (2), 237-256, 2011
GRAM: A framework for geodesic registration on anatomical manifolds
J Hamm, DH Ye, R Verma, C Davatzikos
Medical image analysis 14 (5), 633-642, 2010
Learning Privately from Multiparty Data
J Hamm, P Cao, M Belkin
Proceedings of The 33rd International Conference on Machine Learning (ICML …, 2016
Learning high dimensional correspondences from low dimensional manifolds
JH Ham, DD Lee, LK Saul
Efficient large deformation registration via geodesics on a learned manifold of images
J Hamm, C Davatzikos, R Verma
International Conference on Medical Image Computing and Computer-Assisted …, 2009
Extended Grassmann kernels for subspace-based learning
J Hamm, DD Lee
Advances in neural information processing systems, 601-608, 2009
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
J Hamm, A Champion, G Chen, M Belkin, D Xuan
IEEE International Conference on Distributed Computing Systems (ICDCS), 11-20, 2015
Automatic annotation of daily activity from smartphone-based multisensory streams
J Hamm, B Stone, M Belkin, S Dennis
International Conference on Mobile Computing, Applications, and Services …, 2012
Learning nonlinear appearance manifolds for robot localization
J Ham, Y Lin, DD Lee
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005
Minimax Filter: Learning to Preserve Privacy from Inference Attacks
J Hamm
Journal of Machine Learning Research 18, 1-31, 2017
Learning a manifold-constrained map between image sets: applications to matching and pose estimation
J Ham, I Ahn, D Lee
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Subspace-based learning with Grassmann kernels
J Hamm
University of Pennsylvania, 2008
Personalized video summarization with human in the loop
B Han, J Hamm, J Sim
2011 IEEE Workshop on Applications of Computer Vision (WACV), 51-57, 2011
Regional manifold learning for deformable registration of brain MR images
DH Ye, J Hamm, D Kwon, C Davatzikos, KM Pohl
International Conference on Medical Image Computing and Computer-Assisted …, 2012
Spectral methods for dimensionality reduction. Semisupervised Learning
LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
Semisupervised Learning, 293-308, 2006
Regional manifold learning for disease classification
D Ye, B Desjardins, J Hamm, H Litt, K Pohl
IEEE Transactions on Medical Imaging, 2014
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Articles 1–20